Gentili Susanna, Calderón-Larrañaga Amaia, Rizzuto Debora, Gordon Adam Lee, Agerholm Janne, Lennartsson Carin, Hedberg Rundgren Åsa, Fratiglioni Laura, Vetrano Davide Liborio
Aging Research Center, Department Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Stockholm Gerontology Research Center, Stockholm, Sweden.
Age Ageing. 2025 Jan 6;54(1). doi: 10.1093/ageing/afaf006.
We aimed to investigate the association of sociodemographic, clinical and functional characteristics with the volume of transitions and specific trajectories across living and care settings.
Using data from the Swedish National Study on Aging and Care in Kungsholmen study, we identified transitions across home (with or without social care), nursing homes, hospitals and postacute care facilities among 3021 adults aged 60+. Poisson and multistate models were used to investigate the association between sociodemographic, clinical and functional characteristics and both the overall volume and hazard ratios (HRs) of specific transitions.
Over 15 years, 720 (23.8%) participants experienced between 5 and 10 transitions, and 816 (26.7%) experienced >10 transitions across living and care settings. A higher number of transitions was observed in older participants with multimorbidity and slower walking speed. In contrast, cognitive impairment and disability were associated with a lower number of transitions. After hospital and postacute discharge, each additional year of age (HR range 1.06-1.08) and being a woman compared with being a man (HR range 1.35-4.38) increased the likelihood of discharge to home care. Multimorbidity (HR range 1.14-1.23) and slow gait speed (HR range 1.11-1.50) increased the risk of hospitalisation and home care after hospital discharge. Cognitive impairment raised the hazard of nursing home placement (HR range 1.99-2.15). Disability was associated with a higher hazard of nursing home placement after hospital discharge (HR range 2.57-3.07).
Accounting for older adults' whole journey across living and care settings, we identified transition-specific predictors and potential triggers that could be timely leveraged to better tailor care to older adults' needs.
我们旨在研究社会人口统计学、临床和功能特征与生活及护理环境中的转归量和特定轨迹之间的关联。
利用瑞典 Kungsholmen 地区老年与护理国家研究的数据,我们确定了 3021 名 60 岁及以上成年人在家庭(有或无社会护理)、养老院、医院和急性后护理机构之间的转归情况。采用泊松模型和多状态模型来研究社会人口统计学、临床和功能特征与特定转归的总体量和风险比(HRs)之间的关联。
在 15 年期间,720 名(23.8%)参与者经历了 5 至 10 次转归,816 名(26.7%)参与者经历了超过 10 次生活及护理环境的转归。在患有多种疾病且步行速度较慢的老年参与者中观察到更多的转归。相比之下,认知障碍和残疾与转归次数较少有关。在出院和急性后出院后,每增加一岁(HR 范围为 1.06 - 1.08)以及女性与男性相比(HR 范围为 1.35 - 4.38)会增加接受家庭护理的可能性。多种疾病(HR 范围为 1.14 - 1.23)和步态缓慢(HR 范围为 1.11 - 1.50)会增加住院和出院后接受家庭护理的风险。认知障碍增加了入住养老院的风险(HR 范围为 1.99 - 2.15)。残疾与出院后入住养老院的较高风险相关(HR 范围为 2.57 - 3.07)。
考虑到老年人在生活和护理环境中的整个历程,我们确定了特定转归的预测因素和潜在触发因素,可及时利用这些因素更好地根据老年人的需求调整护理。